Package index • LHWL

Fit and tune local models

LHWR is the unpenalized foundation; LHWPR adds focal regularization.

LHWL LHWL-package: LHWL Package
lhwr(): Fit a Lorentz Hyperbolic Weighted Regression Model
bw.lhwr(): Select LHWR Bandwidth
lhwpr() print(<lhwpr>) summary(<lhwpr>) print(<summary.lhwpr>) coef(<lhwpr>) fitted(<lhwpr>) residuals(<lhwpr>) predict(<lhwpr>) plot(<lhwpr>): Lorentz-Hyperbolic Weighted Penalized Regression
tune.lhwpr() print(<tune.lhwpr>): Joint Bandwidth and Regularization Tuning for LHWPR
lhwpr_control(): LHWPR Solver Controls
plot(<tune.lhwpr>): Plot an LHWPR Tuning Object

Coordinates and geometry

check_lhwr_Z() make_lhwr_Z_features() make_lhwr_Z_network() make_lhwr_Z() check_lorentz_Z() make_lorentz_Z_features() make_lorentz_Z_network() make_lorentz_Z(): Construct Lorentz Hyperboloid Coordinates for LHWR
prepare_lorentz_coordinates(): Prepare Coordinates for LHWR
simulate_H2(): Simulate Points on the Two-Dimensional Hyperboloid
lorentz_inner(): Lorentz Inner Product
lorentz_norm(): Lorentz Norm
hyperbolic_distance(): Hyperbolic Distance on the Lorentz Hyperboloid
hyperbolic_distance_matrix(): Hyperbolic Distance Matrix
lorentz_knn(): Lorentz Hyperbolic k-Nearest Neighbors
check_hyperboloid(): Check Hyperboloid Constraints
normalize_to_H2(): Normalize a Vector to the Lorentz Hyperboloid
project_to_H2(): Project Spatial Coordinates to the Lorentz Hyperboloid
poincare_to_lorentz(): Convert Poincare Disk Coordinates to Lorentz Coordinates
extrinsic_lorentz_mean(): Extrinsic Mean Projected to the Lorentz Hyperboloid
lorentz_log_map(): Lorentz Logarithmic Map
tangent_coordinates(): Tangent-Space Coordinates
tangent_distance_matrix(): Tangent-Space Distance Matrix

Extractors, diagnostics and graphics

fitted(<lhwr>) residuals(<lhwr>) coef(<lhwr>) predict(<lhwr>) fitted(<hgwr>) residuals(<hgwr>) coef(<hgwr>) predict(<hgwr>): Extract and Predict from LHWR Models
summary(<lhwr>) summary(<hgwr>): Summarize an LHWR Model
RSS.lhwr() RSS.hgwr(): LHWR Residual Sum of Squares
CV.lhwr() CV.hgwr(): LHWR Cross-Validation Score
AICc.lhwr() AICc.hgwr(): LHWR AICc
lhwr_report(): Professional LHWR Model Report
local_collinearity(): Local Multicollinearity Diagnostics for LHWR
local_inference() local_inference.hgwr(): Local Inference for LHWR Coefficient Surfaces
diagnostic_tests(): LHWR Diagnostic F-Tests
moran.lhwr() moran.hgwr(): Lorentz-Hyperbolic Moran's I Diagnostic for LHWR Residuals
local_moran.lhwr() local_moran.hgwr(): Lorentz-Hyperbolic LISA Diagnostic (LH-LISA) for LHWR Residuals
lhwr_plotting_grammar: LHWR Plotting Grammar
lhwr_plot_control(): LHWR Plot Control
plot_lhwr_diagnostics(): Plot LHWR Diagnostics
plot_lhwr_embedding(): Plot an LHWR Embedding
plot_lhwr_geometry(): Plot Lorentz Geometry
plot_lhwr_hyperboloid(): Plot Lorentz Coordinates on the Hyperboloid
plot_lhwr_inference(): Plot LHWR Local Inference
plot_lhwr_model(): Plot LHWR Model Surfaces
plot_lhwr_network_map(): Plot an LHWR Network Map
plot_lhwr_poincare_map(): Plot Lorentz Coordinates in the Poincare Disk
plot_lhwpr_surface(): Plot an LHWPR Coefficient or Focal-Selection Surface
plot(<lhwr>): Plot LHWR Objects
plot(<hgwr_local_moran>): Plot Lorentz-Hyperbolic LISA Diagnostics (LH-LISA)
caption_lhwr_map(): Create a Caption for a Poincare Disk Map
summary(<lhwr_poincare_map>): Summarize a Poincare Disk Map

Data, kernels and compatibility interfaces

wdi_lhwr: World Bank WDI panel prepared for LHWR examples
hgwr.basic(): Deprecated HGWR model-fitting alias
hgwr.fit(): Fit the Low-Level LHWR Model
hgwr.fit.knn(): Fit the Low-Level LHWR Model from Lorentz kNN Neighborhoods
hgwr_bisquare(): Bisquare HGWR Kernel
hgwr_boxcar(): Boxcar HGWR Kernel
hgwr_exponential(): Exponential HGWR Kernel
hgwr_gaussian(): Gaussian HGWR Kernel
hgwr_kernel(): HGWR Kernel Interface
hgwr_tricube(): Tricube HGWR Kernel
bw.hgwr(): Deprecated LHWR bandwidth-selection alias
weighted_cor(): Weighted Correlation Matrix
weighted_r2(): Weighted R-squared
safe_condition_number(): Safe Condition Number